Instructions to use GraydientPlatformAPI/aam-lcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/aam-lcm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/aam-lcm", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 82c87179298383b48d4ca4a724d7fccdcda384d433f09db70c54d822ce4cceea
- Size of remote file:
- 167 MB
- SHA256:
- 1f1ac23459d3bc7ce1dc2999f60f72f867afe46d11dc64d9b52760dd4d6b7a6c
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